Dimensionality reduction of hyperspectral images based on the linear mixture model and dimensionality estimation.
Evgeny MyasnikovPublished in: ICMV (2019)
Keyphrases
- mixture model
- dimensionality reduction
- hyperspectral images
- unsupervised learning
- density estimation
- hyperspectral
- high dimensional
- high dimensionality
- gaussian mixture model
- probabilistic model
- em algorithm
- high dimensional data
- generative model
- low dimensional
- expectation maximization
- principal component analysis
- remote sensing
- unsupervised classification
- data points
- pattern recognition
- feature space
- language model
- multispectral
- model selection
- random projections
- feature selection
- linear discriminant analysis
- gaussian densities
- infrared
- maximum likelihood
- feature extraction
- change detection
- principal components
- target detection
- high dimensional spaces
- image data
- dimension reduction
- video sequences
- bayesian networks
- image processing
- computer vision
- data sets